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Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.
Vollmer, Sebastian; Mateen, Bilal A; Bohner, Gergo; Király, Franz J; Ghani, Rayid; Jonsson, Pall; Cumbers, Sarah; Jonas, Adrian; McAllister, Katherine S L; Myles, Puja; Granger, David; Birse, Mark; Branson, Richard; Moons, Karel G M; Collins, Gary S; Ioannidis, John P A; Holmes, Chris; Hemingway, Harry.
Afiliación
  • Vollmer S; Alan Turing Institute, Kings Cross, London, UK.
  • Mateen BA; Departments of Mathematics and Statistics, University of Warwick, Coventry, UK.
  • Bohner G; Alan Turing Institute, Kings Cross, London, UK.
  • Király FJ; Warwick Medical School, University of Warwick, Coventry, UK.
  • Ghani R; Kings College Hospital, Denmark Hill, London, UK.
  • Jonsson P; Alan Turing Institute, Kings Cross, London, UK.
  • Cumbers S; Departments of Mathematics and Statistics, University of Warwick, Coventry, UK.
  • Jonas A; Alan Turing Institute, Kings Cross, London, UK.
  • McAllister KSL; Department of Statistical Science, University College London, London, UK.
  • Myles P; University of Chicago, Chicago, IL, USA.
  • Granger D; Science Policy and Research, National Institute for Health and Care Excellence, Manchester, UK.
  • Birse M; Health and Social Care Directorate, National Institute for Health and Care Excellence, London, UK.
  • Branson R; Data and Analytics Group, National Institute for Health and Care Excellence, London, UK.
  • Moons KGM; Data and Analytics Group, National Institute for Health and Care Excellence, London, UK.
  • Collins GS; Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK.
  • Ioannidis JPA; Medicines and Healthcare products Regulatory Agency, London, UK.
  • Holmes C; Medicines and Healthcare products Regulatory Agency, London, UK.
  • Hemingway H; Medicines and Healthcare products Regulatory Agency, London, UK.
BMJ ; 368: l6927, 2020 03 20.
Article en En | MEDLINE | ID: mdl-32198138
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial / Aprendizaje Automático Límite: Humans Idioma: En Revista: BMJ Asunto de la revista: MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial / Aprendizaje Automático Límite: Humans Idioma: En Revista: BMJ Asunto de la revista: MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido